My scaled Facebook ad sets just entered the learning limited phase and performance crashed completely, so should I merge them or kill them right now?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
My scaled Facebook ad sets just entered the learning limited phase and performance crashed completely, so should I merge them or kill them right now?
1 real search · 1 real-search pass
Meta Ads learning limited 50 optimization events 7 days official Meta learning phase significant edits ad set consolidationGoogle ↗
OBSERVEDConsequence
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
Meta Ads learning limited 50 optimization events 7 days official Meta learning phase significant edits ad set consolidation Google ↗
- Understanding and optimizing your ad campaign · developers.meta.com
- Meta Platforms Inc. (via Public) / The importance of the learning phase · publicnow.com
- Stuck in the Learning Phase · jonloomer.com
- My campaign is on learning limited. Should I leave it on? · reddit.com